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<a href="radarsat_8py.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a><a class="code" href="namespaceambhas_1_1radarsat.html">00001</a> <span class="comment">#! /usr/bin/env python</span>
<a name="l00002"></a>00002 <span class="comment"># -*- coding: utf-8 -*-</span>
<a name="l00003"></a>00003 <span class="stringliteral">&quot;&quot;&quot;</span>
<a name="l00004"></a>00004 <span class="stringliteral">Created on Sat Oct  9 17:06:59 2010</span>
<a name="l00005"></a>00005 <span class="stringliteral">by taking help from</span>
<a name="l00006"></a>00006 <span class="stringliteral">http://benjamindeschamps.ca/blog/2009/11/12/processing-radarsat-2-imagery-reading-raw-data-and-saving-rgb-composites/</span>
<a name="l00007"></a>00007 <span class="stringliteral">@author: sat kumar tomer</span>
<a name="l00008"></a>00008 <span class="stringliteral">&quot;&quot;&quot;</span>
<a name="l00009"></a>00009 <span class="comment"># import the required library</span>
<a name="l00010"></a>00010 <span class="keyword">import</span> numpy
<a name="l00011"></a>00011 <span class="keyword">import</span> math
<a name="l00012"></a>00012 <span class="keyword">from</span> osgeo <span class="keyword">import</span> gdal
<a name="l00013"></a>00013 <span class="keyword">from</span> xml.dom <span class="keyword">import</span> minidom
<a name="l00014"></a>00014 <span class="keyword">import</span> scipy.signal
<a name="l00015"></a>00015 
<a name="l00016"></a>00016 
<a name="l00017"></a><a class="code" href="classambhas_1_1radarsat_1_1calibrate.html">00017</a> <span class="keyword">class </span><a class="code" href="classambhas_1_1radarsat_1_1calibrate.html">calibrate</a>:
<a name="l00018"></a><a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a86ef9569b28451f7d1e831ab59942e04">00018</a>     <span class="keyword">def </span><a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a45b416e2d7bb85c7e9b53e521d7c977f">__init__</a>(self,inpath):
<a name="l00019"></a>00019         
<a name="l00020"></a>00020         self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a9dcc2252636cd6031efea608e9f5126d">inpath</a> = inpath
<a name="l00021"></a>00021         <span class="comment"># read the data, GCPs and projection</span>
<a name="l00022"></a>00022         dataset = gdal.Open(<span class="stringliteral">&quot;RADARSAT_2_CALIB:SIGMA0:&quot;</span> + inpath + <span class="stringliteral">&quot;product.xml&quot;</span>)
<a name="l00023"></a>00023         self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a60905ff2a5e94e0d1443e5ddcde97eeb">geotransform</a> = dataset.GetGeoTransform()
<a name="l00024"></a>00024         self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a4d98e27d77d1d392a8522f3f1040c56f">gcps</a> = dataset.GetGCPs()
<a name="l00025"></a>00025         self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#af22dbbdc2afb60fd2f8a37fe5a2fafc6">gcpproj</a> = dataset.GetGCPProjection()
<a name="l00026"></a>00026         self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#af389dbca6837ecaa50425911a4e963a5">RasterXSize</a> = dataset.RasterXSize
<a name="l00027"></a>00027         self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a4605739e1acd446336f02c49820b3485">RasterYSize</a> = dataset.RasterYSize
<a name="l00028"></a>00028         
<a name="l00029"></a>00029         <span class="comment"># calculate the sinclair matrix</span>
<a name="l00030"></a>00030         S_HH = dataset.GetRasterBand(1).ReadAsArray()
<a name="l00031"></a>00031         S_HV = dataset.GetRasterBand(3).ReadAsArray()
<a name="l00032"></a>00032         S_VH = dataset.GetRasterBand(4).ReadAsArray()
<a name="l00033"></a>00033         S_VV = dataset.GetRasterBand(2).ReadAsArray()
<a name="l00034"></a>00034     
<a name="l00035"></a>00035         <span class="comment"># calculate the magnitude</span>
<a name="l00036"></a>00036         S_HH_ABS = numpy.absolute(S_HH);
<a name="l00037"></a>00037         S_HV_ABS = numpy.absolute(S_HV);
<a name="l00038"></a>00038         S_VH_ABS = numpy.absolute(S_VH);
<a name="l00039"></a>00039         S_VV_ABS = numpy.absolute(S_VV);
<a name="l00040"></a>00040             
<a name="l00041"></a>00041         <span class="comment"># calculate the sigma_naught</span>
<a name="l00042"></a>00042         self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a11dd5462c1653f7ec2c969636159136e">SigmaHH</a> = 20*numpy.log10(S_HH_ABS)
<a name="l00043"></a>00043         self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a9dd4c88b208945de9d90f3a24852bd83">SigmaHV</a> = 20*numpy.log10(S_HV_ABS)
<a name="l00044"></a>00044         self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#afda5f0f8ca5878c76d079704ce55d05e">SigmaVH</a> = 20*numpy.log10(S_VH_ABS)
<a name="l00045"></a>00045         self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a86ef9569b28451f7d1e831ab59942e04">SigmaVV</a> = 20*numpy.log10(S_VV_ABS)
<a name="l00046"></a>00046     
<a name="l00047"></a><a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a2f107886d25a6b0620eba62c1fab274c">00047</a>     <span class="keyword">def </span><a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a2f107886d25a6b0620eba62c1fab274c">speckle_filter</a>(self,filter_name,ws):
<a name="l00048"></a>00048         
<a name="l00049"></a>00049         <span class="keywordflow">if</span> filter_name == <span class="stringliteral">&#39;median&#39;</span>:
<a name="l00050"></a>00050             <span class="comment"># filter the image using median filter </span>
<a name="l00051"></a>00051             self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a11dd5462c1653f7ec2c969636159136e">SigmaHH</a> = scipy.signal.medfilt2d(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a11dd5462c1653f7ec2c969636159136e">SigmaHH</a>, kernel_size=ws)
<a name="l00052"></a>00052             self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a9dd4c88b208945de9d90f3a24852bd83">SigmaHV</a> = scipy.signal.medfilt2d(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a9dd4c88b208945de9d90f3a24852bd83">SigmaHV</a>, kernel_size=ws)
<a name="l00053"></a>00053             self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#afda5f0f8ca5878c76d079704ce55d05e">SigmaVH</a> = scipy.signal.medfilt2d(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#afda5f0f8ca5878c76d079704ce55d05e">SigmaVH</a>, kernel_size=ws)
<a name="l00054"></a>00054             self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a86ef9569b28451f7d1e831ab59942e04">SigmaVV</a> = scipy.signal.medfilt2d(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a86ef9569b28451f7d1e831ab59942e04">SigmaVV</a>, kernel_size=ws)
<a name="l00055"></a>00055             
<a name="l00056"></a>00056         <span class="keywordflow">elif</span> filter_name == <span class="stringliteral">&#39;wiener&#39;</span>:
<a name="l00057"></a>00057             <span class="comment"># filter the image using wiener filter </span>
<a name="l00058"></a>00058             self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a11dd5462c1653f7ec2c969636159136e">SigmaHH</a> = scipy.signal.wiener(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a11dd5462c1653f7ec2c969636159136e">SigmaHH</a>,mysize=(ws,ws),noise=<span class="keywordtype">None</span>)
<a name="l00059"></a>00059             self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a9dd4c88b208945de9d90f3a24852bd83">SigmaHV</a> = scipy.signal.wiener(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a9dd4c88b208945de9d90f3a24852bd83">SigmaHV</a>,mysize=(ws,ws),noise=<span class="keywordtype">None</span>)
<a name="l00060"></a>00060             self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#afda5f0f8ca5878c76d079704ce55d05e">SigmaVH</a> = scipy.signal.wiener(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#afda5f0f8ca5878c76d079704ce55d05e">SigmaVH</a>,mysize=(ws,ws),noise=<span class="keywordtype">None</span>)
<a name="l00061"></a>00061             self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a86ef9569b28451f7d1e831ab59942e04">SigmaVV</a> = scipy.signal.wiener(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a86ef9569b28451f7d1e831ab59942e04">SigmaVV</a>,mysize=(ws,ws),noise=<span class="keywordtype">None</span>)
<a name="l00062"></a>00062         
<a name="l00063"></a>00063         <span class="keywordflow">else</span>:
<a name="l00064"></a>00064             <span class="keywordflow">print</span> <span class="stringliteral">&#39;the name of filter not understood&#39;</span>
<a name="l00065"></a>00065             
<a name="l00066"></a><a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a0189e5b2b5f1f5509c11463de99de83b">00066</a>     <span class="keyword">def </span><a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a0189e5b2b5f1f5509c11463de99de83b">save_tiff</a>(self,outfile_sigma):
<a name="l00067"></a>00067         <span class="comment"># save the data as Geotiff</span>
<a name="l00068"></a>00068         driver = gdal.GetDriverByName(<span class="stringliteral">&#39;GTiff&#39;</span>)
<a name="l00069"></a>00069         output_dataset = driver.Create(outfile_sigma, self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#af389dbca6837ecaa50425911a4e963a5">RasterXSize</a>, self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a4605739e1acd446336f02c49820b3485">RasterYSize</a>,4,gdal.GDT_Float32)
<a name="l00070"></a>00070         output_dataset.SetGeoTransform(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a60905ff2a5e94e0d1443e5ddcde97eeb">geotransform</a>)
<a name="l00071"></a>00071         output_dataset.SetGCPs(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a4d98e27d77d1d392a8522f3f1040c56f">gcps</a>, self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#af22dbbdc2afb60fd2f8a37fe5a2fafc6">gcpproj</a>)
<a name="l00072"></a>00072         output_dataset.GetRasterBand(1).WriteArray(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a11dd5462c1653f7ec2c969636159136e">SigmaHH</a>, 0, 0)
<a name="l00073"></a>00073         output_dataset.GetRasterBand(2).WriteArray(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a9dd4c88b208945de9d90f3a24852bd83">SigmaHV</a>, 0, 0)
<a name="l00074"></a>00074         output_dataset.GetRasterBand(3).WriteArray(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#afda5f0f8ca5878c76d079704ce55d05e">SigmaVH</a>, 0, 0)
<a name="l00075"></a>00075         output_dataset.GetRasterBand(4).WriteArray(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a86ef9569b28451f7d1e831ab59942e04">SigmaVV</a>, 0, 0)
<a name="l00076"></a>00076         output_dataset = <span class="keywordtype">None</span>
<a name="l00077"></a>00077     
<a name="l00078"></a><a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#af9749dd6f9616c4590fa2152dc47feaf">00078</a>     <span class="keyword">def </span><a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#af9749dd6f9616c4590fa2152dc47feaf">incidence_angle</a>(self,outfile_ia):
<a name="l00079"></a>00079         <span class="comment"># make the incidence angle image</span>
<a name="l00080"></a>00080         xmldoc = minidom.parse(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a9dcc2252636cd6031efea608e9f5126d">inpath</a>+<span class="stringliteral">&quot;lutSigma.xml&quot;</span>)
<a name="l00081"></a>00081         SigmaGains = xmldoc.getElementsByTagName(<span class="stringliteral">&#39;gains&#39;</span>)
<a name="l00082"></a>00082         SigmaGains = SigmaGains[0].toxml()
<a name="l00083"></a>00083         SigmaGains = SigmaGains[7:-8]
<a name="l00084"></a>00084         SigmaGains = SigmaGains.split(<span class="stringliteral">&#39; &#39;</span>)
<a name="l00085"></a>00085         xmldoc = minidom.parse(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a9dcc2252636cd6031efea608e9f5126d">inpath</a>+<span class="stringliteral">&quot;lutBeta.xml&quot;</span>)
<a name="l00086"></a>00086         BetaGains = xmldoc.getElementsByTagName(<span class="stringliteral">&#39;gains&#39;</span>)
<a name="l00087"></a>00087         BetaGains = BetaGains[0].toxml()
<a name="l00088"></a>00088         BetaGains = BetaGains[7:-8]
<a name="l00089"></a>00089         BetaGains = BetaGains.split(<span class="stringliteral">&#39; &#39;</span>)
<a name="l00090"></a>00090         IncidenceAngle = numpy.zeros([self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a4605739e1acd446336f02c49820b3485">RasterYSize</a>,self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#af389dbca6837ecaa50425911a4e963a5">RasterXSize</a>])
<a name="l00091"></a>00091         <span class="keywordflow">for</span> i <span class="keywordflow">in</span> range(IncidenceAngle.shape[0]):
<a name="l00092"></a>00092             <span class="keywordflow">for</span> j <span class="keywordflow">in</span> range(IncidenceAngle.shape[1]):
<a name="l00093"></a>00093                 IncidenceAngle[i,j]=math.asin((float(BetaGains[j])/float(SigmaGains[j]))**2)
<a name="l00094"></a>00094         
<a name="l00095"></a>00095         <span class="comment"># save the incidence angle image as gtiff</span>
<a name="l00096"></a>00096         driver = gdal.GetDriverByName(<span class="stringliteral">&#39;GTiff&#39;</span>)        
<a name="l00097"></a>00097         output_IA = driver.Create(outfile_ia, self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#af389dbca6837ecaa50425911a4e963a5">RasterXSize</a>, self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a4605739e1acd446336f02c49820b3485">RasterYSize</a>,1,gdal.GDT_Float32)
<a name="l00098"></a>00098         output_IA.SetGeoTransform(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a60905ff2a5e94e0d1443e5ddcde97eeb">geotransform</a>)
<a name="l00099"></a>00099         output_IA.SetGCPs(self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#a4d98e27d77d1d392a8522f3f1040c56f">gcps</a>, self.<a class="code" href="classambhas_1_1radarsat_1_1calibrate.html#af22dbbdc2afb60fd2f8a37fe5a2fafc6">gcpproj</a>)
<a name="l00100"></a>00100         output_IA.GetRasterBand(1).WriteArray(IncidenceAngle, 0, 0)
<a name="l00101"></a>00101         output_IA = <span class="keywordtype">None</span>
<a name="l00102"></a>00102         
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